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Data Scientist (f/m/d)

TN Germany

Weinheim (Kernstadt)

Vor Ort

EUR 55.000 - 75.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading company in the field of data engineering is seeking a qualified individual to handle independent tasks related to data analysis, machine learning, and AI. The role involves developing project proposals, advising internal customers, and creating documentation. Candidates should have a strong background in statistical methods and programming languages like R and Python. Knowledge of cloud applications is advantageous.

Qualifikationen

  • Completed technical or scientific studies or a comparable qualification.
  • Experience with data science methods for model creation and evaluation.

Aufgaben

  • Independent processing of tasks in projects.
  • Development of project proposals and advising on data analysis.

Kenntnisse

Statistical Methods
Data Analysis
Machine Learning
AI
R
Python
Spark
Cloud Applications
Data Science
English

Ausbildung

Technical or Scientific Studies

Tools

MS Azure Databricks

Jobbeschreibung

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Working at Freudenberg: We will wow your world!

Responsibilities:
  • Largely independent processing of tasks in projects
  • Largely independent development of project proposals
  • Analysis and evaluation of methods in the field of data engineering, data analysis, design of experiments, machine learning, and AI with regard to their relevance for the Freudenberg Group
  • Largely independent application and implementation of the above-mentioned methods
  • Advising internal customers on the preparation, analysis, and evaluation of relevant data
  • Creation of functional documentation and reports
Qualifications:
  • Completed technical or scientific studies or a comparable qualification
  • Knowledge of statistical methods; common programming languages used for data analysis, such as “R”, “Python”, or “Spark”; IT environment of continuous data flows (e.g., cloud applications in Azure or comparable environments)
  • Experience with data science methods for model creation, data analysis, and evaluation
  • Experience in the use of distributed IT systems (data sources) and cloud-based solutions for data analysis, such as MS Azure Databricks, is advantageous
  • Good knowledge of English; knowledge of German is an advantage
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